Compare
MCP vs custom integrations.
To let AI act in your business, you can wire up custom integrations or speak a shared standard. The Model Context Protocol is that standard. Here is why it wins for most teams.
Custom-built integrations
MCP, the open standard
Effort to connect
Custom-built integrationsBuild a bespoke integration for each tool and agent pair.
MCP, the open standardSpeak one protocol; any compatible agent connects to any compatible tool.
Maintenance
Custom-built integrationsEvery API change means rework on the integration.
MCP, the open standardThe standard absorbs change, so you do not re-glue each time.
Switching agents
Custom-built integrationsA new agent often means rebuilding the connection.
MCP, the open standardPoint a different client at the same server, with nothing to rebuild.
Capability
Custom-built integrationsYou expose only the endpoints you got around to wiring.
MCP, the open standardThe full toolset is available, so the agent can finish work, not nibble.
Time to value
Custom-built integrationsWeeks of integration work before the agent does anything.
MCP, the open standardConnect and act the same day.
The bottom line
Custom integrations are a tax you pay forever. An open protocol is built once and reused everywhere. For connecting AI to the tools you run on, the standard wins.
Questions
Good to know
Do I still need custom integrations with MCP?
Rarely for connecting an agent to your workspace, because SOIS is already an MCP server. You may still integrate outside services, but the agent-to-business connection that used to be a project is now a standard plug.
Is MCP locked to one vendor?
No. It is an open standard, which is the point. Any client that speaks it can connect, so you keep the freedom to use, and switch, whichever agent is best.